m

Gig economy with Chinese characteristics: People pay her to take photos of the concert stage w their Wechat profile so they can post them on their Wechat moment to brag that they've been to the concert.

Jensen Huang just reverse-engineered why Elon Musk operates at a speed no one on the planet can match. Three traits. The first is deletion. Huang: “He has the ability to question everything to the point where everything’s down to its minimal amount.” Most engineers solve problems by adding. Musk solves them by subtracting. Every part. Every process. Every assumption that survived because no one had the nerve to kill it. He picks it up. Asks if it’s load-bearing. If the answer is anything less than absolutely, it is gone. Not simplified. Not optimized. Removed. What survives is the skeleton. The bare physics of the problem. Nothing between intent and execution. Huang said it plainly. As minimalist as you could possibly imagine. And he does it at system scale. Not at a product level. Not at a department level. Across entire companies. Entire industries. Entire supply chains. He strips a rocket the same way he strips a meeting. Down to the load-bearing walls and nothing else. The second is presence. Huang: “He is present at the point of action. If there’s a problem, he’ll just go there and show me the problem.” Not a Slack message. Not a report filtered through four layers of people who weren’t there when it broke. He walks to the failure. Stands over it. Puts his hands on it. Most executives have never seen the actual problem their company is trying to solve. They have seen slides about it. Read summaries of it. Formed opinions about it in rooms that are nowhere near it. Musk stands over the broken hardware and does not leave until it works. That collapses the distance that buries most organizations. The gap between something breaking and the person with authority to fix it actually understanding what broke. In most companies, that gap is weeks. For Musk, it is hours. The third is the one that bends everyone around him. Huang: “When you act personally with so much urgency, it causes everybody else to act with urgency.” Every supplier has a hundred customers. Every vendor has a dozen priorities. Every manufacturer has a backlog stretching months into the future. Musk makes himself the top of every single one of those lists. Not by demanding it. By demonstrating it. When the CEO shows up at your facility at midnight. When he is moving faster than your own internal team. When his timeline makes yours look like a suggestion. You do not put him in the queue. You rearrange the queue around him. Huang watched this up close. Huang: “He does that by demonstrating.” Not by asking. Not by negotiating. Not by leveraging a contract clause. By moving so fast that everyone else’s normal pace feels like standing still. Three traits. Strip everything down. Show up at the failure. Move so fast the world rearranges around you. That is not a management philosophy. That is why one man runs six companies while entire boards cannot keep one moving.

It’s pretty obvious why Anthropic didn’t buy OpenClaw. Claude is aiming to do anything you can do on a computer.

Man suffers only because he takes seriously what the gods made for fun.

How it feels when you stop reacting to every thought:

A wise man never lets urgency from others override the strategy he built in silence.

🚨 BREAKING: Tencent has killed the “next-token” paradigm. Tencent and Tsinghua has released CALM (Continuous Autoregressive Language Models), and it completely disrupts the next-token paradigm. LLMs currently waste massive amounts of compute predicting discrete, single tokens through a huge vocabulary softmax layer. It’s slow and scales poorly. CALM bypasses the vocabulary entirely. It uses a high-fidelity autoencoder to compress chunks of text into a single continuous vector with 99.9% reconstruction accuracy. The model now predicts the “next vector” in a continuous space. The numbers are actually insane: - Each generative step now carries 4× the semantic bandwidth. - Training compute is reduced by 44%. - The softmax bottleneck is completely removed. We’re literally watching language models evolve from typing discrete symbols to streaming continuous thoughts. This changes the entire trajectory of AI.

Many people ask why “automate” is last. The reason is that if the automation process takes too long, everyone will hate it and eventually turn it off. It also defeats fast iteration when long automation gets in the way. Thus, it’s extremely important to first run garbage collection on the requirements, then compress and optimize the steps, and finally automate. Same as AI agents, same as life. The long feedback loop is most likely the leading source of frustration and burnout—not because the problem is hard. I use the same algorithm to guide my agents through long-horizon planning.

TERAFAB: the next step to becoming a galactic civilization Together with @SpaceX & @xAI, we're building the largest chip manufacturing facility ever (1TW/year) – combining logic, memory & advanced packaging under one roof. To harness as much power as possible from the Sun, we need to send 100 million tons of solar capture into space – per year. This requires massive scale. – Capability to launch millions of tons of mass into orbit – Solar-powered AI satellites – Millions of @Tesla_Optimus robots to help build it out All of these need chips: 100-200GW of chips for Optimus alone, plus terawatts for solar-powered AI satellites. That's more than all the chip manufacturers in the world combined can provide today, or even by 2030 (based on projected production growth). We're building TERAFAB to close the gap between today’s chip production & the future's demand – a future among the stars terafab.ai

SpaceXAI + Tesla TERAFAB Project Goal is a trillion watts of compute/year Most must necessarily go to space, as US electricity is only 0.5TW

The easiest career advice is to find and work with successful or bound-to-be-successful people. An easy way to judge that - If someone is older than you and not near where you want to be at that age… Of if someone is the same age but not as smart and ambitious as you… Move on.

Major cheat code for life: Be patient with yourself when you’re trying to become someone you’ve never been. You’ll feel lost, unsure, and tempted to quit. Don't. Change feels chaotic because your old self is fighting for survival. Expect it to be a battle. But also expect to win.

Man what are they feeding these kids. Every university student I talk to is doing some really incredible stuff. Rocketry, building battle bots, designing PCBs, robot arms, cutting antennas out with box cutters. Is it because of LLMs? My class was nowhere near this smart

Reinforcing negative neural pathways via therapy or introspection is a recipe for misery. Don’t cut a rut in the road.

My big conclusion from this week: Introspection causes emotional disorders.

The space of things you can do is much greater than the space of things you can conceive of doing.

friend is in the stage of claude psychosis where he asks claude to send him newspapers about what claude is doing for him

2021: I have 2 years of experience and I demand to be an VP Engineering. I am invincible. 2026: I have 20 years of experience and would like to be demoted from principal engineer to junior engineer. I just want to be the most over performing person in my role. I just want to blend in.